1434 Trade courses

Overview This comprehensive course on Start A T-Shirt Business | Merch By Amazon, Teespring & More will deepen your understanding on this topic. After successful completion of this course you can acquire the required skills in this sector. This Start A T-Shirt Business | Merch By Amazon, Teespring & More comes with accredited certification from CPD, which will enhance your CV and make you worthy in the job market. So enrol in this course today to fast track your career ladder. How will I get my certificate? At the end of the course there will be an online written test, which you can take either during or after the course. After successfully completing the test you will be able to order your certificate, these are included in the price. Who is This course for? There is no experience or previous qualifications required for enrolment on this Start A T-Shirt Business | Merch By Amazon, Teespring & More. It is available to all students, of all academic backgrounds. Requirements Our Start A T-Shirt Business | Merch By Amazon, Teespring & More is fully compatible with PC's, Mac's, Laptop, Tablet and Smartphone devices. This course has been designed to be fully compatible with tablets and smartphones so you can access your course on Wi-Fi, 3G or 4G. There is no time limit for completing this course, it can be studied in your own time at your own pace. Career Path Learning this new skill will help you to advance in your career. It will diversify your job options and help you develop new techniques to keep up with the fast-changing world. This skillset will help you to- Open doors of opportunities Increase your adaptability Keep you relevant Boost confidence And much more! Course Curriculum 12 sections • 61 lectures • 05:07:00 total length •Welcome to the Course!: 00:05:00 •Start A T-Shirt Business | Course Overview: 00:04:00 •Purchasing T-Shirt Designs | Section Overview: 00:02:00 •The Cheapest & Fastest Place to Purchase Shirt Designs!: 00:08:00 •Get Pre-Vetted Freelancers to Create Your Shirt Designs: 00:04:00 •Hold a Contest for Freelancers to Create Your T-Shirt Design: 00:05:00 •How to Create T-Shirt Designs | Section Overview: 00:02:00 •Download This FREE Photo Editor to Create & Edit Designs: 00:04:00 •Get Text & Font For Your DesignsFor Free!: 00:04:00 •My Favorite Place to Get Royalty Free Images: 00:02:00 •Become a Member Here to Access Thousands of Images for Your Designs: 00:03:00 •Create & Export Your First Completed T-Shirt Design!: 00:05:00 •Placeit T-shirt Design Maker | Access 5000+ Design Templates: 00:08:00 •Canva T-shirt Designer | Access T-Shirt Design Templates, Images, Fonts & More!: 00:07:00 •Market Research, Keywords & Trademarks | Section Overview: 00:02:00 •Selecting A Niche | Create Your Niche List: 00:02:00 •Market Research | Check Market Trends & Demand: 00:04:00 •Market Research | What Is Already Selling?: 00:06:00 •Create A Keyword List | Keyword Research for SEO: 00:04:00 •Spy on Your Competitors Keywords | What Is Already Working?: 00:03:00 •How to Search 'Buyer' Keywords from Amazon: 00:02:00 •Trademarks & Copyright Research | Avoid Future Issues: 00:05:00 •Getting Started on Merch by Amazon: 00:02:00 •Merch by Amazon | Platform Overview: 00:04:00 •Applying For Merch by Amazon | Request Invitation: 00:09:00 •Uploading Designs to Merch by Amazon: 00:08:00 •GIMP 2.10 for Merch by Amazon (Updated 2021): 00:09:00 •Tiering Up on Merch by Amazon: 00:10:00 •Getting Started on Teespring | Section Overview: 00:02:00 •Create Your Teespring Account | Signup & Settings: 00:04:00 •Teespring Dashboard | Platform Overview: 00:04:00 •Build Your Teespring Storefront | Banner, Avatar & More: 00:12:00 •Upload Designs to Teespring | Edit Products & Publish Listings: 00:06:00 •6 Ways to Optimize Your Product Listings on Teespring: 00:16:00 •Teespring Analytics Tracking | Connect Google Analytics: 00:06:00 •Teespring Conversion Tracking | Facebook Pixel Example: 00:10:00 •Create Discount Codes | Teespring Promotions: 00:08:00 •Getting Started on Redbubble | Section Overview: 00:02:00 •Build Your Redbubble Shop | Banner, Avatar & Artist Bio: 00:06:00 •Redbubble | Upload Your First Design & Publish Your Product Listing: 00:06:00 •Tags & Keywords | Optimize Your Redbubble Listings: 00:06:00 •Create Collections | Organize Your Redbubble Shop: 00:04:00 •How to Select Default Product Views On Redbubble: 00:07:00 •Redbubble Markups | Edit Your Product Pricing: 00:04:00 •Connect Google Analytics to Redbubble: 00:05:00 •CafePress | Getting Started on CafePress: 00:05:00 •TeePublic | Getting Started on TeePublic: 00:02:00 •Zazzle | Getting Started on Zazzle: 00:03:00 •Spreadshirt | Getting Started on Spreadshirt: 00:03:00 •FunnyShirts | Getting Started on FunnyShirts: 00:03:00 •Free Marketing Strategies | Section Overview: 00:01:00 •Listing Optimization | SEO, Keywords & Quality: 00:01:00 •Facebook Marketing | Strategies to Promote for Free on Facebook: 00:08:00 •Instagram Marketing | Building Your Instagram Brand Page: 00:04:00 •Pinterest Marketing | Marketing Your Brand with Pinterest: 00:03:00 •Paid Promotion Strategies | Section Overview: 00:02:00 •Create Mock-Ups for Your Ads | Get High Quality Photo or Video Mockups: 00:06:00 •Facebook Post Boost | Boost Your Facebook Post to Increase Engagement: 00:04:00 •Facebook Targeted Ads | Custom Audience & Targeted Ads: 00:13:00 •Google Ads | Create Targeted Ads on Google & YouTube: 00:05:00 •Bonus Lecture: 00:03:00

Master the intricacies of Investment with a focus on time management, from understanding the success formula to harnessing productivity tools. This course guides you through managing distractions, enhancing focus, and optimizing energy for investment success.

Overview Get the ideal training and knowledge to kickstart your experience in Financial Trading and a whole new way to earn a living. This course provides you with all tuition needed to take you from being a beginner to becoming a talented Trader on the Stock market. When you enrol in our Forex Trading and Market Structure course, you'll find input and assistance available from some of the most successful financial experts around. No matter what your current skill level is, a variety of educational techniques will turn you into a fiscal genius who will be able to buy and sell all stock with the confidence of a seasoned professional. How will I get my certificate? You may have to take a quiz or a written test online during or after the course. After successfully completing the course, you will be eligible for the certificate. Who is this course for? There is no experience or previous qualifications required for enrolment on this Forex Trading and Market Structure. It is available to all students, of all academic backgrounds. Requirements Our Forex Trading and Market Structure is fully compatible with PC's, Mac's, Laptop, Tablet and Smartphone devices. This course has been designed to be fully compatible with tablets and smartphones so you can access your course on Wi-Fi, 3G or 4G. There is no time limit for completing this course, it can be studied in your own time at your own pace. Career path Having these various qualifications will increase the value in your CV and open you up to multiple sectors such as Business & Management, Admin, Accountancy & Finance, Secretarial & PA, Teaching & Mentoring etc. Course Curriculum 2 sections • 10 lectures • 02:20:00 total length •Introduction to Forex Trading: 00:11:00 •Major Currencies and Market Structure: 00:10:00 •Kinds of Foreign Exchange Market: 00:14:00 •Money Management: 00:11:00 •Fundamental Analysis: 00:21:00 •Technical Analysis: 00:32:00 •Pitfalls and Risks: 00:11:00 •Managing Risk: 00:16:00 •Trading Psychology: 00:14:00 •Assignment - Forex Trading and Market Structure: 00:00:00

Overview Become a stock trading expert and run your trading successfully by taking the highly advanced Stocks, Shares and Forex Trading - Level 2 course.In the comprehensive Stocks, Shares and Forex Trading - Level 2 course, you'll gain a complete understanding of trading strategy and trading options, and how they work within the confines of a financial management strategy for your capital. By completing the course, you'll have the skills to identify good profit opportunities in the stock exchange market. You'll be able to practice stock trading successfully and set yourself up as a pro trader. How will I get my certificate? After successfully completing the course you will be able to order your certificate, these are included in the price. Who is this course for? There is no experience or previous qualifications required for enrolment on this Stocks, Shares and Forex Trading - Level 2. It is available to all students, of all academic backgrounds. Requirements Our Stocks, Shares and Forex Trading - Level 2 is fully compatible with PC's, Mac's, Laptop, Tablet and Smartphone devices. This course has been designed to be fully compatible on tablets and smartphones so you can access your course on wifi, 3G or 4G.There is no time limit for completing this course, it can be studied in your own time at your own pace. Career path Having these various qualifications will increase the value in your CV and open you up to multiple sectors such as Business & Management , Admin, Accountancy & Finance, Secretarial & PA, Teaching & Mentoring etc. Course Curriculum 9 sections • 9 lectures • 02:28:00 total length •Introduction to Forex Trading: 00:14:00 •Major Currencies and Market Structure: 00:15:00 •Kinds of Foreign Exchange Market: 00:14:00 •Money Management: 00:11:00 •Fundamental Analysis: 00:21:00 •Technical Analysis: 00:32:00 •Pitfalls and Risks: 00:11:00 •Managing Risk: 00:16:00 •Trading Psychology: 00:14:00

Overview This comprehensive course on Corporate Finance: Profitability in a Financial Downturn will deepen your understanding on this topic. After successful completion of this course you can acquire the required skills in this sector. This Corporate Finance: Profitability in a Financial Downturn comes with accredited certification from CPD, which will enhance your CV and make you worthy in the job market. So enrol in this course today to fast track your career ladder. How will I get my certificate? You may have to take a quiz or a written test online during or after the course. After successfully completing the course, you will be eligible for the certificate. Who is This course for? There is no experience or previous qualifications required for enrolment on this Corporate Finance: Profitability in a Financial Downturn. It is available to all students, of all academic backgrounds. Requirements Our Corporate Finance: Profitability in a Financial Downturn is fully compatible with PC's, Mac's, Laptop, Tablet and Smartphone devices. This course has been designed to be fully compatible with tablets and smartphones so you can access your course on Wi-Fi, 3G or 4G. There is no time limit for completing this course, it can be studied in your own time at your own pace. Career Path Learning this new skill will help you to advance in your career. It will diversify your job options and help you develop new techniques to keep up with the fast-changing world. This skillset will help you to- Open doors of opportunities Increase your adaptability Keep you relevant Boost confidence And much more! Course Curriculum 2 sections • 10 lectures • 02:42:00 total length •Module 1 - Introduction to Corporate Finance: 00:10:00 •Module 2 - Long Term Financial Planning and Growth: 00:28:00 •Module 3 - Analysis of the Financial Statement: 00:28:00 •Module 4 - Capital Budgeting: 00:26:00 •Module 5 - Financial Risk-Return Tradeoff: 00:18:00 •Module 6 - Profitability During Financial Downturn: 00:13:00 •Module 7 - Managing Profitability in Financial Downturn: 00:13:00 •Module 8 - Corporate Finance Regulations: 00:14:00 •Module 9 - Career Path in Corporate Finance: 00:12:00 •Assignment - Corporate Finance: Profitability in a Financial Downturn: 00:00:00

Unravel the complexities of financial markets with the 'Day Trading & Scalping Strategies' course. This program is a comprehensive guide for those aspiring to master the art of quick, profitable trading. The course begins with an introduction to the fundamental concepts of day trading and scalping, setting a solid foundation for more advanced strategies. Learners are introduced to a variety of tools and techniques, each designed to navigate the fast-paced world of short-term trading. The curriculum is crafted to ensure a deep understanding of market dynamics and the skills needed to make informed trading decisions. Advance through the course to explore specialized strategies using tools like MACD, Moving Averages, RSI, and EMA's, each section providing a detailed approach to utilizing these indicators effectively. The course also emphasizes the critical aspect of risk management, ensuring traders are well-equipped to handle market volatility. As you progress, you'll encounter strategies tailored for different markets, including cryptocurrencies, forex, and stocks, offering a broad perspective on day trading and scalping techniques. The final section provides bonus content, further enriching your trading toolkit. Whether you're a novice looking to enter the world of trading or an experienced trader seeking to refine your strategies, this course offers valuable insights and practical skills. Learning Outcomes Understand the principles and techniques of day trading and scalping. Develop skills in utilizing MACD, Moving Averages, RSI, and EMA's for trading strategies. Master the art of risk management in day trading. Learn specialized strategies for trading in crypto, forex, and stock markets. Enhance decision-making abilities in fast-paced trading environments. Why choose this Day Trading & Scalping Strategies course? Unlimited access to the course for a lifetime. Opportunity to earn a certificate accredited by the CPD Quality Standards and CIQ after completing this course. Structured lesson planning in line with industry standards. Immerse yourself in innovative and captivating course materials and activities. Assessments designed to evaluate advanced cognitive abilities and skill proficiency. Flexibility to complete the Course at your own pace, on your own schedule. Receive full tutor support throughout the week, from Monday to Friday, to enhance your learning experience. Unlock career resources for CV improvement, interview readiness, and job success. Who is this Day Trading & Scalping Strategies course for? Individuals interested in learning day trading and scalping techniques. Traders seeking to diversify their strategy portfolio. Beginners aiming to enter the financial trading market. Investors looking to enhance their short-term trading skills. Finance professionals seeking advanced trading strategies. Career path Day Trader: £30,000 - £100,000+ Financial Analyst: £35,000 - £60,000 Risk Manager: £40,000 - £70,000 Trading Strategy Consultant: £45,000 - £80,000 Cryptocurrency Trader: £30,000 - £90,000+ Forex Trader: £30,000 - £100,000+ Prerequisites This Day Trading & Scalping Strategies does not require you to have any prior qualifications or experience. You can just enrol and start learning. This course was made by professionals and it is compatible with all PC's, Mac's, tablets and smartphones. You will be able to access the course from anywhere at any time as long as you have a good enough internet connection. Certification After studying the course materials, there will be a written assignment test which you can take at the end of the course. After successfully passing the test you will be able to claim the pdf certificate for £4.99 Original Hard Copy certificates need to be ordered at an additional cost of £8. Course Curriculum Section 01: Introduction Introduction to the Course 00:04:00 Section 02: Risk Management Introduction to Risk Management 00:02:00 What a Risk Management? 00:03:00 Why Risk Management is So Important 00:18:00 Why You Have to Manage Your Risk 00:18:00 My Risk Management System 00:12:00 You Can't Progress in Something That You Don't Measure 00:09:00 Section 03: Professional Day trading/Scalping strategy with MACD Introduction 00:02:00 Trading on 2 different timeframe 00:10:00 How to add it to your screen 00:05:00 The rules that you have to follow 00:15:00 Let's practice it 00:30:00 Results from the practice 00:10:00 Class project 00:01:00 Section 04: Day trading / scalping PRO strategy with Moving averages Introduction 00:04:00 How to put it on your screen 00:05:00 The criteria needed 00:19:00 Entries, exits and stop losses practice 00:24:00 51% profits on the account in 6 weeks on 1 pair 00:15:00 Class project 00:01:00 Section 05: Day trading / scalping strategy with RSI and EMA's Introduction 00:03:00 The setup 00:09:00 The Criteria 00:14:00 Practice 00:30:00 22 % profit on account in 30 trades 00:14:00 68 % Win Rate 00:01:00 Section 06: Day trading strategies with Stochastic indicator and EMA's Introduction 00:03:00 Why you have to be using multiple timeframes 00:09:00 Introduction to using Stochastic indicator with an EDGE 00:08:00 First strategy - How to set it up on your chart 00:07:00 First strategy - Criteria 00:30:00 First strategy - Practice 00:20:00 Second strategy - Criteria 00:12:00 Second strategy - Practice 00:15:00 Class project 00:01:00 Section 07: 2 Scalping/ Day trading strategies for Crypto/Forex/Stocks Introduction 00:03:00 The first Scalping / Day trading strategy 00:14:00 Volatility is key 00:08:00 Practice of the First strategy 00:17:00 Second scalping / day trading strategy and how to set it up 00:04:00 Criteria for the second strategy 00:04:00 Backtesting the second strategy 00:23:00 Class project 00:01:00 Section 08: Bonus How to Know When to Take Profits 00:35:00 Hull Moving Average 00:06:00 7 Habits Belief of Successful Traders 00:17:00 Momentum Play with Multiple Timeframes 00:20:00 Assignment Assignment - Day Trading & Scalping Strategies in 2021 00:00:00

Overview This comprehensive course on Python for Data Analysis will deepen your understanding on this topic. After successful completion of this course you can acquire the required skills in this sector. This Python for Data Analysis comes with accredited certification, which will enhance your CV and make you worthy in the job market. So enrol in this course today to fast track your career ladder. How will I get my certificate? You may have to take a quiz or a written test online during or after the course. After successfully completing the course, you will be eligible for the certificate. Who is this course for? There is no experience or previous qualifications required for enrolment on this Python for Data Analysis. It is available to all students, of all academic backgrounds. Requirements Our Python for Data Analysis is fully compatible with PC's, Mac's, Laptop, Tablet and Smartphone devices. This course has been designed to be fully compatible with tablets and smartphones so you can access your course on Wi-Fi, 3G or 4G. There is no time limit for completing this course, it can be studied in your own time at your own pace. Career path Having these various qualifications will increase the value in your CV and open you up to multiple sectors such as Business & Management, Admin, Accountancy & Finance, Secretarial & PA, Teaching & Mentoring etc. Course Curriculum 19 sections • 99 lectures • 00:08:00 total length •Welcome & Course Overview: 00:07:00 •Set-up the Environment for the Course (lecture 1): 00:09:00 •Set-up the Environment for the Course (lecture 2): 00:25:00 •Two other options to setup environment: 00:04:00 •Python data types Part 1: 00:21:00 •Python Data Types Part 2: 00:15:00 •Loops, List Comprehension, Functions, Lambda Expression, Map and Filter (Part 1): 00:16:00 •Loops, List Comprehension, Functions, Lambda Expression, Map and Filter (Part 2): 00:20:00 •Python Essentials Exercises Overview: 00:02:00 •Python Essentials Exercises Solutions: 00:22:00 •What is Numpy? A brief introduction and installation instructions.: 00:03:00 •NumPy Essentials - NumPy arrays, built-in methods, array methods and attributes.: 00:28:00 •NumPy Essentials - Indexing, slicing, broadcasting & boolean masking: 00:26:00 •NumPy Essentials - Arithmetic Operations & Universal Functions: 00:07:00 •NumPy Essentials Exercises Overview: 00:02:00 •NumPy Essentials Exercises Solutions: 00:25:00 •What is pandas? A brief introduction and installation instructions.: 00:02:00 •Pandas Introduction: 00:02:00 •Pandas Essentials - Pandas Data Structures - Series: 00:20:00 •Pandas Essentials - Pandas Data Structures - DataFrame: 00:30:00 •Pandas Essentials - Handling Missing Data: 00:12:00 •Pandas Essentials - Data Wrangling - Combining, merging, joining: 00:20:00 •Pandas Essentials - Groupby: 00:10:00 •Pandas Essentials - Useful Methods and Operations: 00:26:00 •Pandas Essentials - Project 1 (Overview) Customer Purchases Data: 00:08:00 •Pandas Essentials - Project 1 (Solutions) Customer Purchases Data: 00:31:00 •Pandas Essentials - Project 2 (Overview) Chicago Payroll Data: 00:04:00 •Pandas Essentials - Project 2 (Solutions Part 1) Chicago Payroll Data: 00:18:00 •Matplotlib Essentials (Part 1) - Basic Plotting & Object Oriented Approach: 00:13:00 •Matplotlib Essentials (Part 2) - Basic Plotting & Object Oriented Approach: 00:22:00 •Matplotlib Essentials (Part 3) - Basic Plotting & Object Oriented Approach: 00:22:00 •Matplotlib Essentials - Exercises Overview: 00:06:00 •Matplotlib Essentials - Exercises Solutions: 00:21:00 •Seaborn - Introduction & Installation: 00:04:00 •Seaborn - Distribution Plots: 00:25:00 •Seaborn - Categorical Plots (Part 1): 00:21:00 •Seaborn - Categorical Plots (Part 2): 00:16:00 •Seborn-Axis Grids: 00:25:00 •Seaborn - Matrix Plots: 00:13:00 •Seaborn - Regression Plots: 00:11:00 •Seaborn - Controlling Figure Aesthetics: 00:10:00 •Seaborn - Exercises Overview: 00:04:00 •Seaborn - Exercise Solutions: 00:19:00 •Pandas Built-in Data Visualization: 00:34:00 •Pandas Data Visualization Exercises Overview: 00:03:00 •Panda Data Visualization Exercises Solutions: 00:13:00 •Plotly & Cufflinks - Interactive & Geographical Plotting (Part 1): 00:19:00 •Plotly & Cufflinks - Interactive & Geographical Plotting (Part 2): 00:14:00 •Plotly & Cufflinks - Interactive & Geographical Plotting Exercises (Overview): 00:11:00 •Plotly & Cufflinks - Interactive & Geographical Plotting Exercises (Solutions): 00:37:00 •Project 1 - Oil vs Banks Stock Price during recession (Overview): 00:15:00 •Project 1 - Oil vs Banks Stock Price during recession (Solutions Part 1): 00:18:00 •Project 1 - Oil vs Banks Stock Price during recession (Solutions Part 2): 00:18:00 •Project 1 - Oil vs Banks Stock Price during recession (Solutions Part 3): 00:17:00 •Project 2 (Optional) - Emergency Calls from Montgomery County, PA (Overview): 00:03:00 •Introduction to ML - What, Why and Types..: 00:15:00 •Theory Lecture on Linear Regression Model, No Free Lunch, Bias Variance Tradeoff: 00:15:00 •scikit-learn - Linear Regression Model - Hands-on (Part 1): 00:17:00 •scikit-learn - Linear Regression Model Hands-on (Part 2): 00:19:00 •Good to know! How to save and load your trained Machine Learning Model!: 00:01:00 •scikit-learn - Linear Regression Model (Insurance Data Project Overview): 00:08:00 •scikit-learn - Linear Regression Model (Insurance Data Project Solutions): 00:30:00 •Theory: Logistic Regression, conf. mat., TP, TN, Accuracy, Specificityetc.: 00:10:00 •scikit-learn - Logistic Regression Model - Hands-on (Part 1): 00:17:00 •scikit-learn - Logistic Regression Model - Hands-on (Part 2): 00:20:00 •scikit-learn - Logistic Regression Model - Hands-on (Part 3): 00:11:00 •scikit-learn - Logistic Regression Model - Hands-on (Project Overview): 00:05:00 •scikit-learn - Logistic Regression Model - Hands-on (Project Solutions): 00:15:00 •Theory: K Nearest Neighbors, Curse of dimensionality .: 00:08:00 •scikit-learn - K Nearest Neighbors - Hands-on: 00:25:00 •scikt-learn - K Nearest Neighbors (Project Overview): 00:04:00 •scikit-learn - K Nearest Neighbors (Project Solutions): 00:14:00 •Theory: D-Tree & Random Forests, splitting, Entropy, IG, Bootstrap, Bagging.: 00:18:00 •scikit-learn - Decision Tree and Random Forests - Hands-on (Part 1): 00:19:00 •scikit-learn - Decision Tree and Random Forests (Project Overview): 00:05:00 •scikit-learn - Decision Tree and Random Forests (Project Solutions): 00:15:00 •Support Vector Machines (SVMs) - (Theory Lecture): 00:07:00 •scikit-learn - Support Vector Machines - Hands-on (SVMs): 00:30:00 •scikit-learn - Support Vector Machines (Project 1 Overview): 00:07:00 •scikit-learn - Support Vector Machines (Project 1 Solutions): 00:20:00 •scikit-learn - Support Vector Machines (Optional Project 2 - Overview): 00:02:00 •Theory: K Means Clustering, Elbow method ..: 00:11:00 •scikit-learn - K Means Clustering - Hands-on: 00:23:00 •scikit-learn - K Means Clustering (Project Overview): 00:07:00 •scikit-learn - K Means Clustering (Project Solutions): 00:22:00 •Theory: Principal Component Analysis (PCA): 00:09:00 •scikit-learn - Principal Component Analysis (PCA) - Hands-on: 00:22:00 •scikit-learn - Principal Component Analysis (PCA) - (Project Overview): 00:02:00 •scikit-learn - Principal Component Analysis (PCA) - (Project Solutions): 00:17:00 •Theory: Recommender Systems their Types and Importance: 00:06:00 •Python for Recommender Systems - Hands-on (Part 1): 00:18:00 •Python for Recommender Systems - - Hands-on (Part 2): 00:19:00 •Natural Language Processing (NLP) - (Theory Lecture): 00:13:00 •NLTK - NLP-Challenges, Data Sources, Data Processing ..: 00:13:00 •NLTK - Feature Engineering and Text Preprocessing in Natural Language Processing: 00:19:00 •NLTK - NLP - Tokenization, Text Normalization, Vectorization, BoW.: 00:19:00 •NLTK - BoW, TF-IDF, Machine Learning, Training & Evaluation, Naive Bayes : 00:13:00 •NLTK - NLP - Pipeline feature to assemble several steps for cross-validation: 00:09:00 •Resources- Python for Data Analysis: 00:00:00

Overview In this age of technology, data science and machine learning skills have become highly demanding skill sets. In the UK a skilled data scientist can earn around £62,000 per year. If you are aspiring for a career in the IT industry, secure these skills before you start your journey. The Complete Machine Learning & Data Science Bootcamp 2023 course can help you out. This course will introduce you to the essentials of Python. From the highly informative modules, you will learn about NumPy, Pandas and matplotlib. The course will help you grasp the skills required for using python for data analysis and visualisation. After that, you will receive step-by-step guidance on Python for machine learning. The course will then focus on the concepts of Natural Language Processing.  Upon successful completion of the course, you will receive a certificate of achievement. This certificate will help you elevate your resume. So enrol today! How will I get my certificate? You may have to take a quiz or a written test online during or after the course. After successfully completing the course, you will be eligible for the certificate. Who is This course for? Anyone with an interest in learning about data science can enrol in this course. It will help aspiring professionals develop the basic skills to build a promising career. Professionals already working in this can take the course to improve their skill sets. Requirements The students will not require any formal qualifications or previous experience to enrol in this course. Anyone can learn from the course anytime from anywhere through smart devices like laptops, tabs, PC, and smartphones with stable internet connections. They can complete the course according to their preferable pace so, there is no need to rush.   Career Path This course will equip you with valuable knowledge and effective skills in this area. After completing the course, you will be able to explore career opportunities in the fields such as Data Analyst Data Scientist Data Manager Business Analyst Course Curriculum 18 sections • 98 lectures • 23:48:00 total length •Welcome & Course Overview6: 00:07:00 •Set-up the Environment for the Course (lecture 1): 00:09:00 •Set-up the Environment for the Course (lecture 2): 00:25:00 •Two other options to setup environment: 00:04:00 •Python data types Part 1: 00:21:00 •Python Data Types Part 2: 00:15:00 •Loops, List Comprehension, Functions, Lambda Expression, Map and Filter (Part 1): 00:16:00 •Loops, List Comprehension, Functions, Lambda Expression, Map and Filter (Part 2): 00:20:00 •Python Essentials Exercises Overview: 00:02:00 •Python Essentials Exercises Solutions: 00:22:00 •What is Numpy? A brief introduction and installation instructions.: 00:03:00 •NumPy Essentials - NumPy arrays, built-in methods, array methods and attributes.: 00:28:00 •NumPy Essentials - Indexing, slicing, broadcasting & boolean masking: 00:26:00 •NumPy Essentials - Arithmetic Operations & Universal Functions: 00:07:00 •NumPy Essentials Exercises Overview: 00:02:00 •NumPy Essentials Exercises Solutions: 00:25:00 •What is pandas? A brief introduction and installation instructions.: 00:02:00 •Pandas Introduction: 00:02:00 •Pandas Essentials - Pandas Data Structures - Series: 00:20:00 •Pandas Essentials - Pandas Data Structures - DataFrame: 00:30:00 •Pandas Essentials - Handling Missing Data: 00:12:00 •Pandas Essentials - Data Wrangling - Combining, merging, joining: 00:20:00 •Pandas Essentials - Groupby: 00:10:00 •Pandas Essentials - Useful Methods and Operations: 00:26:00 •Pandas Essentials - Project 1 (Overview) Customer Purchases Data: 00:08:00 •Pandas Essentials - Project 1 (Solutions) Customer Purchases Data: 00:31:00 •Pandas Essentials - Project 2 (Overview) Chicago Payroll Data: 00:04:00 •Pandas Essentials - Project 2 (Solutions Part 1) Chicago Payroll Data: 00:18:00 •Matplotlib Essentials (Part 1) - Basic Plotting & Object Oriented Approach: 00:13:00 •Matplotlib Essentials (Part 2) - Basic Plotting & Object Oriented Approach: 00:22:00 •Matplotlib Essentials (Part 3) - Basic Plotting & Object Oriented Approach: 00:22:00 •Matplotlib Essentials - Exercises Overview: 00:06:00 •Matplotlib Essentials - Exercises Solutions: 00:21:00 •Seaborn - Introduction & Installation: 00:04:00 •Seaborn - Distribution Plots: 00:25:00 •Seaborn - Categorical Plots (Part 1): 00:21:00 •Seaborn - Categorical Plots (Part 2): 00:16:00 •Seborn-Axis Grids: 00:25:00 •Seaborn - Matrix Plots: 00:13:00 •Seaborn - Regression Plots: 00:11:00 •Seaborn - Controlling Figure Aesthetics: 00:10:00 •Seaborn - Exercises Overview: 00:04:00 •Seaborn - Exercise Solutions: 00:19:00 •Pandas Built-in Data Visualization: 00:34:00 •Pandas Data Visualization Exercises Overview: 00:03:00 •Panda Data Visualization Exercises Solutions: 00:13:00 •Plotly & Cufflinks - Interactive & Geographical Plotting (Part 1): 00:19:00 •Plotly & Cufflinks - Interactive & Geographical Plotting (Part 2): 00:14:00 •Plotly & Cufflinks - Interactive & Geographical Plotting Exercises (Overview): 00:11:00 •Plotly & Cufflinks - Interactive & Geographical Plotting Exercises (Solutions): 00:17:00 •Project 1 - Oil vs Banks Stock Price during recession (Overview): 00:15:00 •Project 1 - Oil vs Banks Stock Price during recession (Solutions Part 1): 00:18:00 •Project 1 - Oil vs Banks Stock Price during recession (Solutions Part 2): 00:18:00 •Project 1 - Oil vs Banks Stock Price during recession (Solutions Part 3): 00:17:00 •Project 2 (Optional) - Emergency Calls from Montgomery County, PA (Overview): 00:03:00 •Introduction to ML - What, Why and Types..: 00:15:00 •Theory Lecture on Linear Regression Model, No Free Lunch, Bias Variance Tradeoff: 00:15:00 •scikit-learn - Linear Regression Model - Hands-on (Part 1): 00:17:00 •scikit-learn - Linear Regression Model Hands-on (Part 2): 00:19:00 •Good to know! How to save and load your trained Machine Learning Model!: 00:01:00 •scikit-learn - Linear Regression Model (Insurance Data Project Overview): 00:08:00 •scikit-learn - Linear Regression Model (Insurance Data Project Solutions): 00:30:00 •Theory: Logistic Regression, conf. mat., TP, TN, Accuracy, Specificityetc.: 00:10:00 •scikit-learn - Logistic Regression Model - Hands-on (Part 1): 00:17:00 •scikit-learn - Logistic Regression Model - Hands-on (Part 2): 00:20:00 •scikit-learn - Logistic Regression Model - Hands-on (Part 3): 00:11:00 •scikit-learn - Logistic Regression Model - Hands-on (Project Overview): 00:05:00 •scikit-learn - Logistic Regression Model - Hands-on (Project Solutions): 00:15:00 •Theory: K Nearest Neighbors, Curse of dimensionality .: 00:08:00 •scikit-learn - K Nearest Neighbors - Hands-on: 00:25:00 •scikt-learn - K Nearest Neighbors (Project Overview): 00:04:00 •scikit-learn - K Nearest Neighbors (Project Solutions): 00:14:00 •Theory: D-Tree & Random Forests, splitting, Entropy, IG, Bootstrap, Bagging.: 00:18:00 •scikit-learn - Decision Tree and Random Forests - Hands-on (Part 1): 00:19:00 •scikit-learn - Decision Tree and Random Forests (Project Overview): 00:05:00 •scikit-learn - Decision Tree and Random Forests (Project Solutions): 00:15:00 •Support Vector Machines (SVMs) - (Theory Lecture): 00:07:00 •scikit-learn - Support Vector Machines - Hands-on (SVMs): 00:30:00 •scikit-learn - Support Vector Machines (Project 1 Overview): 00:07:00 •scikit-learn - Support Vector Machines (Project 1 Solutions): 00:20:00 •scikit-learn - Support Vector Machines (Optional Project 2 - Overview): 00:02:00 •Theory: K Means Clustering, Elbow method.: 00:11:00 •scikit-learn - K Means Clustering - Hands-on: 00:23:00 •scikit-learn - K Means Clustering (Project Overview): 00:07:00 •scikit-learn - K Means Clustering (Project Solutions): 00:22:00 •Theory: Principal Component Analysis (PCA): 00:09:00 •scikit-learn - Principal Component Analysis (PCA) - Hands-on: 00:22:00 •scikit-learn - Principal Component Analysis (PCA) - (Project Overview): 00:02:00 •scikit-learn - Principal Component Analysis (PCA) - (Project Solutions): 00:17:00 •Theory: Recommender Systems their Types and Importance: 00:06:00 •Python for Recommender Systems - Hands-on (Part 1): 00:18:00 •Python for Recommender Systems - - Hands-on (Part 2): 00:19:00 •Natural Language Processing (NLP) - (Theory Lecture): 00:13:00 •NLTK - NLP-Challenges, Data Sources, Data Processing ..: 00:13:00 •NLTK - Feature Engineering and Text Preprocessing in Natural Language Processing: 00:19:00 •NLTK - NLP - Tokenization, Text Normalization, Vectorization, BoW.: 00:19:00 •NLTK - BoW, TF-IDF, Machine Learning, Training & Evaluation, Naive Bayes : 00:13:00 •NLTK - NLP - Pipeline feature to assemble several steps for cross-validation: 00:09:00

Step into the realm of stock trading with our 'Day Trading Stocks With Volume Analysis' course, where financial prowess meets strategic acumen. This course is a beacon for those eager to decode the complexities of the stock market through the lens of volume analysis. Beginning with an enlightening introduction, the course unfurls the mysteries of volume analysis, guiding you through its intricacies and revealing how it shapes the financial markets. As you venture deeper, you'll encounter Units on volume studies, indicators, and their pivotal role in forecasting market movements. This course is not just an academic pursuit; it's a practical guide to mastering volume analysis, empowering you to make informed trading decisions. The journey through our course is a tapestry of learning, interweaving theory with real-world application. You will navigate through various trading strategies and techniques, underpinned by volume analysis. The course culminates with detailed examples and analyses, providing a practical touchstone for your learning. Additionally, we delve into the nuances of using a trading platform, an essential skill for any aspiring day trader. This course isn't just about learning; it's about transforming you into a proficient day trader, adept at using volume analysis to carve out success in the stock market. Learning Outcomes Acquire in-depth knowledge of volume analysis and its impact on stock market dynamics. Understand and apply various volume studies and indicators in day trading. Develop the ability to formulate and execute effective trading strategies based on volume analysis. Gain insights from practical examples and analyses to enhance trading decisions. Become proficient in using a trading platform, integrating theoretical knowledge with practical application. Why choose this Day Trading Stocks With Volume Analysis course? Unlimited access to the course for a lifetime. Opportunity to earn a certificate accredited by the CPD Quality Standards and CIQ after completing this course. Structured lesson planning in line with industry standards. Immerse yourself in innovative and captivating course materials and activities. Assessments designed to evaluate advanced cognitive abilities and skill proficiency. Flexibility to complete the Course at your own pace, on your own schedule. Receive full tutor support throughout the week, from Monday to Friday, to enhance your learning experience. Unlock career resources for CV improvement, interview readiness, and job success. Who is this Day Trading Stocks With Volume Analysis course for? Individuals aspiring to become skilled day traders, focusing on volume analysis. Stock market enthusiasts eager to deepen their understanding of trading indicators. Finance students and professionals seeking to augment their trading strategy toolkit. Traders looking to refine their decision-making process through volume-based insights. Anyone interested in a practical, analytical approach to stock market trading. Career path Financial Analyst - £35,000 - £55,000 Stock Trader - £40,000 - £70,000 Investment Strategist - £50,000 - £75,000 Portfolio Manager - £60,000 - £85,000 Market Analyst - £45,000 - £65,000 Trading Consultant - £55,000 - £80,000 Prerequisites This Day Trading Stocks With Volume Analysis does not require you to have any prior qualifications or experience. You can just enrol and start learning.This Day Trading Stocks With Volume Analysis was made by professionals and it is compatible with all PC's, Mac's, tablets and smartphones. You will be able to access the course from anywhere at any time as long as you have a good enough internet connection. Certification After studying the course materials, there will be a written assignment test which you can take at the end of the course. After successfully passing the test you will be able to claim the pdf certificate for £4.99 Original Hard Copy certificates need to be ordered at an additional cost of £8. Course Curriculum Introduction Introduction 00:02:00 Unit 01: Volume Analysis 1.1 Volume 00:07:00 1.2 Adding Volume Indicators to Chart 00:07:00 Unit 02: Volume Studies and Indicators 2.1 Volume Weighted Average Price: VWAP 00:11:00 2.2 Using On Balance Volume: OBV 00:06:00 2.3 Volume Profile 00:08:00 Unit 03: Volume Trading Strategies and Techniques 3.1 Supply & Demand 00:08:00 3.2 Stock Breakouts and Volume 00:05:00 3.3 Volume Exhaustion 00:07:00 Unit 04: Examples and Analysis 4.1 Examples and Analysis 00:08:00 Unit 05: Trading Platform 5.1 Setting Up Trading Platform 00:30:00 5.2 Practice Safe Trading 00:07:00 Assignment Assignment - Day Trading Stocks With Volume Analysis 00:00:00

24-Hour Flash Sale! Prices Reduced Like Never Before!! Finance and Financial Analysis are crucial for any organisation as it involves planning, budgeting, and forecasting the financial performance of a business. It helps in making informed decisions based on the analysis of financial data and enables businesses to allocate resources efficiently. Within the bustling financial landscape of the UK, this sector pumps an astonishing £132 billion into the economy annually, The ability to analyse financial statements is an essential skill for businesses as it helps in identifying trends and patterns that could affect the financial health of an organisation. Our Finance and Financial Analysis course offers an in-depth understanding of the principles and practices of corporate finance. This course will equip you with the necessary knowledge and skills required to analyse Financial Statements, make informed Financial Decisions, and Manage Financial Risks. With modules ranging from long-term Financial Planning to profitability during financial downturns, this course provides a comprehensive curriculum that covers every aspect of Corporate Finance. The Corporate Finance Regulations module will help you understand the legal and regulatory framework that governs the finance industry. Learning Outcomes of this Finance and Financial Analysis Course: Understand the foundational concepts of corporate finance. Analyse financial statements to make informed business decisions. Master capital budgeting for effective investment management. Navigate the financial risk-return tradeoff with confidence. Learn strategies to maintain profitability in economic downturns. Align yourself with corporate finance regulations and their implications. Seize the opportunity to not just participate in the financial sector but to lead and innovate within it. The "Finance and Financial Analysis" bundle isn't just an investment in your education; it's an investment in your future. Let this be the moment you decide to shape your destiny in the world of finance. The future belongs to those who prepare for it today. So, enrol now, and join in on this journey to attempt to change the business landscape of the world! Why Prefer this Course? Get a Free CPD Accredited Certificate upon completion of the course Get a Free Student ID Card with this training program (£10 postal charge will be applicable for international delivery) The course is Affordable and Simple to understand Get Lifetime Access to the course materials The training program comes with 24/7 Tutor Support Start your learning journey straight away! Course Curriculum of the Certificate In Finance And Financial Analysis Course Module 01: Introduction to Corporate Finance Module 02: Long Term Financial Planning and Growth Module 03: Analysis of the Financial Statement Module 04: Capital Budgeting Module 05: Financial Risk-Return Tradeoff Module 06: Profitability During Financial Downturn Module 07: Managing Profitability in Financial Downturn Module 08: Corporate Finance Regulations Module 09: Career Path in Corporate Finance Assessment Process Once you have completed all the modules on the course, you can assess your skills and knowledge with an optional assignment. Our expert trainers will assess your assignment and give you feedback afterwards. CPD 10 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Anyone interested in learning more about the topic is advised to take this bundle. This bundle is ideal for: Aspiring finance professionals Corporate finance managers Business owners Financial analysts Accountants Students in finance Requirements You will not need any prior background or expertise to enrol in this course. Career path After completing this bundle, you are to start your career or begin the next phase of your career. Financial Analyst - £30,000 to £60,000 Corporate Finance Manager - £50,000 to £100,000 Finance Director - £60,000 to £100,000 Risk Manager - £40,000 to £90,000 Investment Banker - £50,000 to £100,000 Portfolio Manager - £60,000 to £120,000 Certificates CPD Accredited Digital Certificate Digital certificate - £12.99 Upon passing the Course, you need to order a Digital Certificate for each of the courses inside this bundle as proof of your new skills that are accredited by CPD QS for Free. CPD Accredited Hard Copy Certificate Hard copy certificate - £29 If you are an international student, then you have to pay an additional 10 GBP as an international delivery charge.